Agent skill · Media & Video

ebay-search-listing

Extracts product listings from any eBay search or category page URL, returning per-item cards (itemNumber, url, title, subtitle, caption, price, priceWithCurrency, currency, wasPrice, bids, shipping, seller, sellerFeedbackCount, sellerPositiveRating, reviewsCount, starRating, image) plus pagination state (currentPage, nextPageUrl, hasNextPage, totalResultsApprox). Works across all eBay regional TLDs. Use when user mentions eBay, ebay.com, eBay scraper, eBay search results, eBay category page, eBay SRP, eBay product list, eBay item cards, scrape eBay listings, extract eBay items, eBay bulk prod

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill ebay-search-listing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: yes
Path: solutions/ecommerce/ebay-search-listing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# eBay — Search & Category Listing Extraction > Input: any eBay search or category page URL → Output: paginated array of item cards (itemNumber, url, title, price, seller, image, etc.) plus pagination state (currentPage, nextPageUrl, hasNextPage, totalResultsApprox). ## Language All process output to user (progress updates, process notifications) follows the user's language. ## Objective Given any eBay search results URL (SRP) or category URL, extract the visible product cards on the current page with their key surface fields, and expose pagination state so a caller can loop pages until an item cap or the last page is reached. ## Prerequisites - Target page is already open in the browser: `https://www.ebay.{tld}/sch/i.html?_nkw={keyword}` (search) or `https://www.ebay.{tld}/b/{category-slug}/{category-id}/bn_...` (category), where `{tld}` is any eBay regional TLD (`com`, `co.uk`, `de`, `fr`, `it`, `es`, `com.au`, `ca`, `co.jp`, `com.hk`, `in`, `ph`, `pl`, `nl`, `ie`, `at`, `be`). - No login is required for public listings. Extraction runs against whatever the anonymous browser session sees. ## Pre-execution Checks ### 1. Tool Readiness If browser-act has been confirmed available in

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. Capability Components
  7. DOM: extract item cards from the current search or category page
  8. Pagination
  9. Success Criteria
  10. Known Limitations
  11. Execution Efficiency
  12. Experience Notes
Ships with 1 file
  • scripts/extract-listing.py
More from skills
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About this skill
What does the ebay-search-listing skill do?

Extracts product listings from any eBay search or category page URL, returning per-item cards (itemNumber, url, title, subtitle, caption, price, priceWithCurrency, currency, wasPrice, bids, shipping, seller, sellerFeedbackCount, sellerPositiveRating, reviewsCount, starRating, image) plus pagination state (currentPage, nextPageUrl, hasNextPage, totalResultsApprox). Works across all eBay regional TLDs. Use when user mentions eBay, ebay.com, eBay scraper, eBay search results, eBay category page, eBay SRP, eBay product list, eBay item cards, scrape eBay listings, extract eBay items, eBay bulk prod

How do I install it?

Run `npx skills add browser-act/skills --skill ebay-search-listing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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